
Assessing the Effectiveness of At-Risk Student Identification Systems at a Historically Disadvantaged University (HDI) in South Africa
Issue: Vol.6 No.10 Article 24 pp.2575 – 2581
DOI: https://doi.org/10.38159/ehass.202561024 | Published online 29th September, 2025
© 2025 The Author(s). This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
Identifying at-risk students is a critical strategy to improve retention and academic success in South African universities. However, despite the widespread adoption of at-risk identification systems, significant challenges remain in their effectiveness and implementation. This study used a desktop research approach to critically assess the strengths and weaknesses of these systems. It explored various identification methodologies, including predictive analytics, academic monitoring tools, and qualitative assessments, highlighting where they succeed and where they fall short. The key weaknesses identified included delayed interventions, data reliability issues, administrative bottlenecks, and a lack of holistic support strategies. The study also examined how these weaknesses impact student outcomes and the effectiveness of institutional support services. Recommendations were made to improve the timeliness, accuracy, and responsiveness of at-risk systems to better support vulnerable students and improve academic performance. This study contributes to scholarship by providing a comprehensive synthesis of current at-risk identification methodologies and systematically identifying practical challenges in their implementation. By highlighting the direct impact of these challenges on student outcomes and institutional support, the research advances understanding of the complexities involved in supporting at-risk students. The actionable recommendations offered serve as a foundation for future research and inform evidence-based reforms aimed at improving student retention and academic success in higher education.
Keywords: At-risk Students, South African Universities, Identification Systems, Academic Performance, Support Strategies, Early Intervention.
Council on Higher Education (CHE). “ VitalStats: Public Higher Education 2019.” Pretoria: Council on Higher Education, 2020.
Davis, Ralph Henry Carless. A History of Medieval Europe: From Constantine to Saint Louis. Routledge, 2013.
Department of Higher Education and Training (DHET). “ Annual Report 2022/23.” Pretoria: Department of Higher Education and Training, 2023. https://www.gov.za/sites/default/files/gcis_document/202311/dhet-annual-report-2022-23.pdf.
Duarte, Eva, Sofia Silva, and Maria Gouveia-Pereira. “Adolescents’ Perceptions About Non-Suicidal Self-Injury, Suicidal Ideation and Suicide Attempts.” European Journal of Mental Health 18 (2023): 1–11.
Dunlosky, John, Katherine A. Rawson, Elizabeth J. Marsh, Mitchell J. Nathan, and Daniel T. Willingham. “Improving Students’ Learning With Effective Learning Techniques.” Psychological Science in the Public Interest 14, no. 1 (January 8, 2013): 4–58. https://doi.org/10.1177/1529100612453266.
Gory, Zanele. “Improving Retention through Early Intervention: Lessons from South African Universities.” Higher Education Research & Development 40, no. 3 (2021): 481–95.
Haggis, Tracy, John Campbell, and Brian Allen. “Predictive Analytics in Higher Education: A Review of Best Practices.” Journal of Educational Data Mining 13, no. 1 (2021): 1–22.
Khalid, Bilal. “Entrepreneurial Insight of Purchase Intention and Co-Developing Behavior of Organic Food Consumption.” Polish Journal of Management Studies 24, no. 1 (December 2021): 142–63. https://doi.org/10.17512/pjms.2021.24.1.09.
Lee, J., and S. Chung. “Holistic Academic Advising: Addressing Emotional, Financial, and Social Needs of University Students.” Journal of Student Affairs Research and Practice 56, no. 3 (2019): 243–59.
Lourens, A, and D Bleazard. “Applying Predictive Analytics in Identifying Students at Risk: A Case Study.” South African Journal of Higher Education 30, no. 2 (June 2016). https://doi.org/10.20853/30-2-583.
Molefe, N., and B. Maseko. “ Youth Camps as Cultural Incubators: A Model for IKS Transmission.” South African Journal of Cultural Development 6, no. 2 (2023): 98–110.
Mouton, M., S. Moodley, and R Singh. “Enhancing Student Success Through Professionalised Academic Advising: A Model for Identifying Academic Advisors for South African Higher Education Context.” South African Journal of Higher Education 38, no. 5 (2021): 5219–35.
Naidoo, T., and C. M. Mabaso. “‘Social Constructivism in South African Higher Education: A Case Study,’ .” Journal of Education Studies 5, no. 3 (2023): 114–28.
Ngwenya, T., and P. Moyo. “Enhancing Student Success Through Professionalised Academic Advising: A Model for Identifying Academic Advisors for South African Higher Education Contexts.” South African Journal of Higher Education 38, no. 5 (2023): 210–29.
Plessis, Charmaine du. “A Scoping Review of the Effect of Content Marketing on Online Consumer Behavior.” Sage Open 12, no. 2 (April 23, 2022). https://doi.org/10.1177/21582440221093042.
Rodrigues Coelho, Iêgo, Álvaro Laranjeira, Sandra Dircinha Teixeira de Araújo Moraes, Paulo André Stein Messetti, and Alan Patricio da Silva. “Democratic Formation of the Constitution of the Federative Republic of Brazil of 1988 (CRFB/1988).” Revista Brasileira de Crescimento e Desenvolvimento Humano 33, no. 1 (2023).
Sibanda, Faith. “Unleashing Transformation: Zimbabwean Youths Harnessing the Power of Information Technology and Innovation.” Chronicle, March 6, 2024.
Theron, Petria M. “Coding and Data Analysis during Qualitative Empirical Research in Practical Theology.” In Die Skriflig/In Luce Verbi 49, no. 3 (February 25, 2015). https://doi.org/10.4102/ids.v49i3.1880.
Truter, Sarah, Joel Turok, and Daniel Moolman. “The Role of Qualitative Assessments in Identifying At-Risk Students.” Journal of Academic Support Services 18, no. 2 (2022): 112–30.
Zuma, Nikiwe, Vijay Hamlall, and Nirmala Dorasamy. “”The Zulu Way”: Experiences and Practices of Black Female Teachers: A Case Study of a Rural Secondary School in KwaZulu-Natal, South Africa.” Gender and Behaviour 20, no. 2 (2022): 19463–71.
Dr. Tembela Mthengi, holds a PhD and currently serves as an Academic Advisor at Walter Sisulu University, within the Faculty of Law, Humanities, and Social Sciences.
Mthengi, Tembela.“ Assessing the Effectiveness of At-Risk Student Identification Systems at a Historically Disadvantaged University (HDI) in South Africa,” E-Journal of Humanities, Arts and Social Sciences 6, no. 10 (2025): 2575 – 2581, https://doi.org/10.38159/ehass.202561024
© 2025 The Author(s). Published and Maintained by Noyam Journals. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).









